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    Results for "test data"

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

      Skills you'll gain: Algorithms, Bioinformatics, Graph Theory, Computational Thinking, Data Structures, Theoretical Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 4 Weeks

    • E

      Edge Impulse

      Introduction to Embedded Machine Learning

      Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Feature Engineering, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      728 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Meta

      Django Web Framework

      Skills you'll gain: Django (Web Framework), Web Development, Web Servers, Web Applications, Data Modeling, Back-End Web Development, MySQL, Application Security, Database Development, Application Frameworks, Database Management, Hypertext Markup Language (HTML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      612 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Building a Data Science Team

      Skills you'll gain: Employee Onboarding, Team Motivation, Interviewing Skills, Organizational Leadership, Data Strategy, Team Management, Team Building, People Management, Technical Management, Recruitment, Data Science, Cross-Functional Collaboration

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Developing Front-End Apps with React

      Skills you'll gain: React Redux, React.js, Front-End Web Development, JavaScript Frameworks, UI Components, Full-Stack Web Development, Web Applications, Javascript, Event-Driven Programming, Cascading Style Sheets (CSS), Data Structures

      4.4
      Rating, 4.4 out of 5 stars
      ·
      682 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Practical Data Science with MATLAB

      Skills you'll gain: Data Storytelling, Feature Engineering, Data Visualization, Supervised Learning, Dimensionality Reduction, Data Integration, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Technical Communication, Data Analysis, Applied Machine Learning, Data Visualization Software, Matlab, Regression Analysis, Data Processing, Descriptive Statistics, Data Cleansing, Predictive Modeling, Data Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Regression

      Skills you'll gain: Supervised Learning, Regression Analysis, Predictive Modeling, Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Feature Engineering, Statistical Analysis, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      744 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Structures and Algorithms

      Skills you'll gain: Graph Theory, Data Structures, Microsoft Copilot, .NET Framework, Algorithms, Back-End Web Development, C# (Programming Language), Performance Tuning, Programming Principles, Microsoft Development Tools, Scalability

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Alberta Machine Intelligence Institute

      Machine Learning: Algorithms in the Real World

      Skills you'll gain: Supervised Learning, Feature Engineering, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Data Quality, Data Processing, MLOps (Machine Learning Operations), Jupyter, Data Validation, Machine Learning, Business Operations, Data Cleansing, Product Lifecycle Management, Ethical Standards And Conduct, Classification And Regression Tree (CART), Data Transformation, Operational Analysis, Verification And Validation, Business Strategy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • L

      Lund University

      Writing in English at University

      Skills you'll gain: Editing, Proofreading, Writing, Grammar, English Language, Literacy, Vocabulary

      4.7
      Rating, 4.7 out of 5 stars
      ·
      802 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      Edureka

      MySQL for Data Analytics and Business Intelligence

      Skills you'll gain: MySQL, Relational Databases, Database Management, SQL, Databases, Business Intelligence, Data Storytelling, Role-Based Access Control (RBAC), Data Visualization Software, Data Warehousing, Data Literacy, Data Access, Query Languages, Data Transformation, Performance Tuning

      3.8
      Rating, 3.8 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      K

      Kennesaw State University

      Six Sigma Advanced Define and Measure Phases

      Skills you'll gain: Process Capability, Team Management, Statistical Process Controls, Exploratory Data Analysis, Six Sigma Methodology, Probability & Statistics, Process Analysis, Statistical Analysis, Lean Six Sigma, Process Mapping, Correlation Analysis, Data Analysis, Data Collection, Regression Analysis, Process Improvement, Quality Improvement, Business Process, Graphing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Intermediate · Course · 1 - 3 Months

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    1…118119120…690

    In summary, here are 10 of our most popular test data courses

    • Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming: Stanford University
    • Introduction to Embedded Machine Learning: Edge Impulse
    • Django Web Framework : Meta
    • Building a Data Science Team: Johns Hopkins University
    • Developing Front-End Apps with React: IBM
    • Practical Data Science with MATLAB: MathWorks
    • Supervised Machine Learning: Regression: IBM
    • Data Structures and Algorithms: Microsoft
    • Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute
    • Writing in English at University: Lund University

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